{"id":"W1979395951","doi":"10.1016/j.gexplo.2013.07.008","title":"Investigation of spatially non-stationary influences of tectono-magmatic processes on Fe mineralization in eastern Tianshan, China with geographically weighted regression","year":2013,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Mineralization (soil science); Geology; Mineral exploration; Regression; Felsic; Principal component analysis; Volcano; Regression analysis; Geochemistry; Sedimentary rock; Mineralogy; Soil science; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002877584,0.0001443652,0.0002774132,0.0002711043,0.00003191652,0.00003895396,0.0003316579,0.0001047203,0.00001369857],"category_scores_gemma":[0.0003938585,0.0001012621,0.00004108348,0.0008770197,0.00009625498,0.001335239,0.00003932208,0.0001739643,0.000001521527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002229048,"about_ca_system_score_gemma":0.0001972375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005156878,"about_ca_topic_score_gemma":0.00002102792,"domain_scores_codex":[0.998305,0.00007653712,0.0008016783,0.0001774605,0.0005120383,0.000127317],"domain_scores_gemma":[0.9973238,0.000123339,0.001176351,0.0001512626,0.001154893,0.00007031597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002333174,0.000309157,0.1356896,0.000845988,0.0000470647,0.00001206063,0.004709288,0.01420264,0.8381129,0.0004602663,0.0001831355,0.005194645],"study_design_scores_gemma":[0.001452218,0.001092153,0.133056,0.003397107,0.00002558893,0.00003218312,0.0002435369,0.1040939,0.7171827,0.039097,0.00001994438,0.0003077131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555333,0.00003860224,0.04157058,0.002483891,0.00003226702,0.0001929755,7.054379e-7,0.00001039418,0.000137294],"genre_scores_gemma":[0.9857991,0.00002539432,0.01403424,0.00005124926,0.00003661011,0.00001600471,0.00001926723,0.000003133296,0.00001501915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1209302,"threshold_uncertainty_score":0.4129348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424656938887188,"score_gpt":0.2201238067564172,"score_spread":0.2058772373675453,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}